John Case – författare

1.1. What This Book is About This book is a study of * subrecursive programming systems, * efficiency/program-size trade-offs between such systems, and * how these systems can serve as tools in complexity theory. Section 1.1 states our basic themes, and Sections 1.2 and 1.3 give a general outline of the book. Our first task is to explain what subrecursive programming systems are and why they are of interest. 1.1.1. Subrecursive Programming Systems A subrecursive programming system is, roughly, a programming language for which the result of running any given program on any given input can be completely determined algorithmically. Typical examples are: 1. the Meyer-Ritchie LOOP language [MR67,DW83], a restricted assem- bly language with bounded loops as the only allowed deviation from straight-line programming; 2. multi-tape 'lUring Machines each explicitly clocked to halt within a time bound given by some polynomial in the length ofthe input (see [BH79,HB79]); 3. the set of seemingly unrestricted programs for which one can prove 1 termination on all inputs (see [Kre51,Kre58,Ros84]); and 4. finite state and pushdown automata from formal language theory (see [HU79]). lOr, more precisely, the collection of programs, p, ofsome particular general-purpose programming language (e.g., Lisp or Modula-2) for which there is a proof in some par- ticular formal system (e.g., Peano Arithmetic) that p halts on all inputs.

Joe Lassiter is an ex-FBI investigator bent on revenge . His sister and young nephew have been murdered and the killer hospitalised. Despite warnings from the police Lassiter will stop at nothing to discover why. His search leads him to uncover an attempt by the Vatican to destroy all traces of a discovery that has sent them into such an alarm, that they have charged a right-wing fundamentalist hit-squad to rid the world of all evidence of it. The discovery originates from a confession in a remote village in Italy. A confession that sends the local priest into a panic and the Vatican into an uproar. The confession belongs to the late Dr Franco Baresi, and concerns the work at his fertility clinic - a fertility clinic that Lassiter's sister attended and, as he horrifyingly discovers, all the other victims in a recent series of murders that have swept the world. Women who were infertile until they attended the clinic. Lassiter must discover the remaining mothers before the hit men, and meanwhile his sister's killer is on the loose...

In the Book of Revelations, the Four Horsemen herald the arrival of the Apocalypse. When the First Horseman thunders forth, pestilence will spread throughout the land. For the First Horseman is Plague... The Spanish Flu killed thirty million people worldwide in 1918. Now, with history threatening to repeat itself, a scientific expedition speeds toward a remote island in the Arctic Sea to recover strains of the lethal virus preserved under layers of ice. For Washington Post reporter Frank Daly, it is the story of a lifetime. But his plan to join the expedition is ruined by a ferocious storm that delays him. And when he meets up with the ship upon its return to port in Norway, it is clear that something has gone terribly wrong. Fear haunts the faces of the crew. No one will talk. And someone wants Daly to stop asking questions. But if there's a wall around the facts, Daly will batter it down. Persistent and resourceful, he knows how to get answers when none are given. Yet the more he uncovers, the more dangerous the stakes become. Until at last he comes face-to-face with a shocking secret, pitching him into a harrowing race to prevent nothing less than... apocalypse.

A promising young research fellow for a venerable think tank in Zurich has just filed his last report, as he is forced into a ghastly experiment. A seductive young woman travels to Florida and from her hotel room coolly sharpshoots a dying old man in a wheelchair. A psychologist who helps patients confront and dispel past trauma through hypnosis battles his own silent but emergent demons. In Trance State John Case combines these elements into a pulse-pounding, mind-twisting new thriller. Just what is the connection between the research fellow, the young assassin and the psychologist? After the young woman kills herself, why should her sister trust anyone who might have been involved with her? When unknown assassins burst into the psychologist's office, who is their target - him or the young woman's sister? Where is the deadly trail into the CIA's mind-control experiments leading them? Could this be another trap? Or could they be about to unearth a great and secret conspiracy at the heart of the Intelligence communities around the world and the deadly, dangerous people they employ?

There's nothing in a glorious summer's day to suggest anything even remotely sinister. In fact, Alex Callahan, a news correspondent, surprises himself by enjoying the Renaissance Faire that his six-year-old twins, Kevin and Sean, have forced him to visit. The boys are delighted by the jugglers and magicians, jesters and foodmongers dressed in full Elizabethan costume. But it's the joust that the boys have really been waiting to see. Alex takes a break to watch, while keeping half an eye on the twins, but when he turns to see how they are enjoying themselves, they're nowhere to be seen.The perfect day has turned into every parent's nightmare. His sons have disappeared, and Alex is an immediate suspect. But no one can explain the bizarre origami figure he finds after he returns to his empty house. Or the bowl of water that has been left on the top shelf of the wardrobe. Or, the T-shirt soaked in blood...As police attention to the case wanes, Alex's own investigations uncover a sinister, underground world that he never dreamed existed. A world where reality is portrayed as illusion, and where the reason behind the twins' disappearance is more terrifying than anything Alex can imagine...

From The Genesis Code to The Murder Artist, John Case has established himself as the master of unrelenting suspense. Now Case choreographs his most diabolically chilling novel to date, as the very fabric of civilisation threatens to come apart in the hands of a brilliantly vengeful madman...Photojournalist Mike Burke has carried his camera into every war zone and hellhole on earth - and come back with the pictures (and battle scars) to prove it. He is flying high until, quite suddenly, he isn't. When Burke's helicopter crashes and burns in Africa, he comes away with his life but loses his heart to the woman who saves him. That's when he decides it is time to stop dancing with the devil. But the devil isn't done with him yet...

"And on the Seventh Day, He rested." --Genesis, 2:2-3 The EighthDay is an explosive, compulsively readable novel of suspense that plunges a clever young man into a web of mystery and international deceit, bringing him face to face with the ultimate evil. Danny Cray is a struggling 28 year-old sculptor and video artist who lives in Washington DC. To make ends meet, he does occasional freelance work as a researcher for a large firm of private detectives. When one of their most powerful clients approaches him with a job, the money is too good to resist. All he has to do is learn what a recently deceased university professor was working on when he died. But Danny stumbles on far more than he expected when he discovers that the professor was in touch with the Vatican about a remote tribe of Kurds who worship the Peacock Angel; Satan. After others connected to the professor start to disappear, Danny finds himself in great peril and must travel into the ancient land where this tribe still lives in order to discover what is truly at stake in his investigation. A mesmerising blend of science, religion, history and suspense, The Eighth Day confirms John Case's position as a master of intelligent commercial fiction.

As an IT manager, you''re expected to make key decisions and recommend major investments. And that means understanding your decisions'' financial impact on your company. But if you''re like many information technology practitioners, you may feel uncomfortable incorporating the financials into your day-to-day work.Using the groundbreaking formula they introduced in their book Financial Intelligence: A Manager''s Guide to Knowing What the Numbers Really Mean, Karen Berman and Joe Knight present the essentials of finance specifically for IT experts.Drawing on their work training tens of thousands of managers and employees at leading organizations worldwide, the authors illuminate the basics of financial management and measurement and provide hands-on activities for practicing what you are reading. You''ll discover:· Why the assumptions behind financial data matter· What your company''s income statement, balance sheet, and cash flow statement reveal· How to use ratios to assess your company''s financial health· How to calculate return on IT investments· Ways to use financial information to support your company''s business units and do your own job better· How to instill financial intelligence throughout your teamAuthoritative and accessible, Financial Intelligence for IT Professionals empowers you to "talk numbers" confidently with your boss, colleagues, and direct reports -- and understand how the financials affect your part of the business.

1.1. What This Book is About This book is a study of * subrecursive programming systems, * efficiency/program-size trade-offs between such systems, and * how these systems can serve as tools in complexity theory. Section 1.1 states our basic themes, and Sections 1.2 and 1.3 give a general outline of the book. Our first task is to explain what subrecursive programming systems are and why they are of interest. 1.1.1. Subrecursive Programming Systems A subrecursive programming system is, roughly, a programming language for which the result of running any given program on any given input can be completely determined algorithmically. Typical examples are: 1. the Meyer-Ritchie LOOP language [MR67,DW83], a restricted assem- bly language with bounded loops as the only allowed deviation from straight-line programming; 2. multi-tape 'lUring Machines each explicitly clocked to halt within a time bound given by some polynomial in the length ofthe input (see [BH79,HB79]); 3. the set of seemingly unrestricted programs for which one can prove 1 termination on all inputs (see [Kre51,Kre58,Ros84]); and 4. finite state and pushdown automata from formal language theory (see [HU79]). lOr, more precisely, the collection of programs, p, ofsome particular general-purpose programming language (e.g., Lisp or Modula-2) for which there is a proof in some par- ticular formal system (e.g., Peano Arithmetic) that p halts on all inputs.

Strength of Materials and Structures: An Introduction to the Mechanics of Solids and Structures provides an introduction to the application of basic ideas in solid and structural mechanics to engineering problems. This book begins with a simple discussion of stresses and strains in materials, structural components, and forms they take in tension, compression, and shear. The general properties of stress and strain and its application to a wide range of problems are also described, including shells, beams, and shafts. This text likewise considers an introduction to the important principle of virtual work and its two special forms—leading to strain energy and complementary energy. The last chapters are devoted to buckling, vibrations, and impact stresses. This publication is a good reference for engineering undergraduates who are in their first or second years.

The Strength of Materials

Strength of Materials: An Introduction to the Analysis of Stress and Strain is 22-chapter introductory text to the problems of stress and strain analysis. The first chapters explore the fundamental and basic topics on stress and strain, including tension, compression, pin-jointed frames, joints, and connections. The next chapters consider the application of combined simple direct and shearing stresses in practical situations. Other chapters treat topics on plastic, elastic, and strain, as well as problems of thin-walled tubes in bending and torsion. This text also explores the analytical uses of the principle of virtual work, strain energy, and complementary energy. The last chapters review problems of vibrations and dynamic and impact stresses. This book is directed toward undergraduate engineering students.

Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future data from the same phenomena. The papers in this volume cover a broad range of topics of current research in the ?eld of algorithmic learning theory. We have divided the 29 technical, contributed papers in this volume into eight categories (corresponding to eight sessions) re?ecting this broad range. The categories featured are Inductive Inf- ence, Approximate Optimization Algorithms, Online Sequence Prediction, S- tistical Analysis of Unlabeled Data, PAC Learning & Boosting, Statistical - pervisedLearning,LogicBasedLearning,andQuery&ReinforcementLearning. Below we give a brief overview of the ?eld, placing each of these topics in the general context of the ?eld. Formal models of automated learning re?ect various facets of the wide range of activities that can be viewed as learning. A ?rst dichotomy is between viewing learning as an inde?nite process and viewing it as a ?nite activity with a de?ned termination. Inductive Inference models focus on inde?nite learning processes, requiring only eventual success of the learner to converge to a satisfactory conclusion.

Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future data from the same phenomena. The papers in this volume cover a broad range of topics of current research in the ?eld of algorithmic learning theory. We have divided the 29 technical, contributed papers in this volume into eight categories (corresponding to eight sessions) re?ecting this broad range. The categories featured are Inductive Inf- ence, Approximate Optimization Algorithms, Online Sequence Prediction, S- tistical Analysis of Unlabeled Data, PAC Learning & Boosting, Statistical - pervisedLearning,LogicBasedLearning,andQuery&ReinforcementLearning. Below we give a brief overview of the ?eld, placing each of these topics in the general context of the ?eld. Formal models of automated learning re?ect various facets of the wide range of activities that can be viewed as learning. A ?rst dichotomy is between viewing learning as an inde?nite process and viewing it as a ?nite activity with a de?ned termination. Inductive Inference models focus on inde?nite learning processes, requiring only eventual success of the learner to converge to a satisfactory conclusion.